scholarly journals A MÚSICA SERTANEJA COMO REFLEXO DE TRANSFORMAÇÕES DOS LUGARES DE ESCUTA

2020 ◽  
Vol 4 (1) ◽  
pp. 1-8
Author(s):  
Luciana Carolina Fernandes Faria ◽  
João Pedro Turino Silva

This article aims to analyze and compare Brazilian country music from different decades in order to identify which elements have been preserved, which have changed over time and the possible associations between these transformations and the increase in the urban population. For this, two country songs were selected, one from 1926 and the other from 2028, in order to identify which musical elements have been transformed and which have been preserved over the time and under the influence of the rural exodus process. Through bibliographic research, we found that our country has undergone through a significant urbanization, especially since the 1960s and this fact, aggravated by the influence of the cultural industry, caused changes in habits, actions and, consequently, caused changes in people's listening places; the wiretaps that were made and produced in the rural environment differ in many of the wiretaps that are made and produced in urban environments today. Such changes directly imply people's form of expression and artistic production. Through analytical research of the narrative and musical elements, this transformation of the listening places is evident, and demonstrates the culture, practices and concepts of two very diverse contexts (rural and urban). Listening places are produced by living beings and, in reciprocity, also produces them as beings; in this way, it becomes an important research object for the understanding of society today.

Author(s):  
Juana Maria Anguita Acero ◽  
Oscar Navarro Martinez ◽  
Angel Luis Gonzalez Olivares ◽  
Monica di Martino

The purpose of this research is to analyse the presence of racist prejudices in response to certain statements in two different contexts, namely, a rural environment and an urban environment. A questionnaire was prepared using nine statements in respect to real situations of preconceived ideas regarding certain minority groups of society. Specifically, these situations refer to gypsies, Blacks, immigrants, Moroccans, beggars, refugees from Latin America or handicapped persons. The questionnaire was given to university students, who were asked to assess the racist characteristics of each statement on a scale of 1–4. The results obtained show certain differences that are detected between the two contexts in respect to participants’ perception of prejudice. The conclusion is that the presence of racist prejudices is very similar in the two contexts in which the research was carried out, with a high correlation between students’ answers. Keywords: Prejudices, university students, urban, rural


2021 ◽  
Vol 110 (5) ◽  
pp. 259-292
Author(s):  
Gertrud Reershemius ◽  
Evelyn Ziegler

The Covid-19 pandemic has left an impact on the semiotic landscapes of both rural and urban environments. The present study analyses two corpora of signs which emerged as a direct result of the pandemic in the rural environment of Krummhörn, a municipality in northern Germany, and in the city of Essen (Ruhr Metropolis) between March and July 2020. In addition to regulatory and informative signage, the data revealed a high proportion of affective signs which were displayed mainly by individuals around private homes, intended as boosters of collective moral in times of crisis. The analysis shows that slightly different semiotic strategies were applied when comparing a rural with an urban environment.


2021 ◽  
Vol 9 (6) ◽  
pp. 1214
Author(s):  
Rafael José Vivero ◽  
Victor Alfonso Castañeda-Monsalve ◽  
Luis Roberto Romero ◽  
Gregory D. Hurst ◽  
Gloria Cadavid-Restrepo ◽  
...  

Pintomyia evansi is recognized by its vectorial competence in the transmission of parasites that cause fatal visceral leishmaniasis in rural and urban environments of the Caribbean coast of Colombia. The effect on and the variation of the gut microbiota in female P. evansi infected with Leishmania infantum were evaluated under experimental conditions using 16S rRNA Illumina MiSeq sequencing. In the coinfection assay with L. infantum, 96.8% of the midgut microbial population was composed mainly of Proteobacteria (71.0%), followed by Cyanobacteria (20.4%), Actinobacteria (2.7%), and Firmicutes (2.7%). In insect controls (uninfected with L. infantum) that were treated or not with antibiotics, Ralstonia was reported to have high relative abundance (55.1–64.8%), in contrast to guts with a high load of infection from L. infantum (23.4–35.9%). ASVs that moderately increased in guts infected with Leishmania were Bacillus and Aeromonas. Kruskal–Wallis nonparametric variance statistical inference showed statistically significant intergroup differences in the guts of P. evansi infected and uninfected with L. infantum (p < 0.05), suggesting that some individuals of the microbiota could induce or restrict Leishmania infection. This assay also showed a negative effect of the antibiotic treatment and L. infantum infection on the gut microbiota diversity. Endosymbionts, such as Microsporidia infections (<2%), were more often associated with guts without Leishmania infection, whereas Arsenophonus was only found in guts with a high load of Leishmania infection and treated with antibiotics. Finally, this is the first report that showed the potential role of intestinal microbiota in natural populations of P. evansi in susceptibility to L. infantum infection.


2015 ◽  
Vol 9 (2) ◽  
pp. 204-231
Author(s):  
ERIC PORTER

AbstractIn November 1966 composer and improviser Bill Dixon recorded a seventeen-minute-long “voice letter” to jazz writer Frank Kofsky. This letter may be analyzed as a critical intervention by Dixon, an attempt to change the context of interpretation around improvised music. But the voice letter may also be heard and analyzed as a kind of performance. As Dixon speaks, one can hear the rumbling and roar of the city as well as the staccato sounds of car and truck horns unfolding in dynamic counterpoint to his words. In this essay, I put the voice letter into dialogue with Dixon's personal history, his writings and interview statements, and some of his contemporaneous musical and multi-generic projects, especially his collaboration with dancer and choreographer Judith Dunn. I show how the letter maps Dixon's and Dunn's positions within a geography of intellectual circles, experimental artistic communities, and low-wage employment networks. By extension, I examine how the voice letter, as critical intervention and performance, points us to a nuanced understanding of black experimental music of the 1960s as a socially inflected, self-conscious and, ultimately, serious engagement with various modes of artistic production and thought, carried out under conditions of both precarity and inspiration.


2021 ◽  
Author(s):  
Shiran Havivi ◽  
Stanley R. Rotman ◽  
Dan G. Blumberg ◽  
Shimrit Maman

&lt;p&gt;The damage caused by a natural disaster in rural areas differs in nature, extent, landscape and in structure, from the damage in urban environments. Previous and current studies focus mainly on mapping damaged structures in urban areas after catastrophe events such as an earthquake or tsunami. Yet, research focusing on the damage level or its distribution in rural areas is absent. In order to apply an emergency response and for effective disaster management, it is necessary to understand and characterize the nature of the damage in each different environment.&amp;#160;&lt;/p&gt;&lt;p&gt;Havivi et al. (2018), published a damage assessment algorithm that makes use of SAR images combined with optical data, for rapid mapping and compiling a damage assessment map following a natural disaster. The affected areas are analyzed using interferometric SAR (InSAR) coherence. To overcome the loss of coherence caused by changes in vegetation, optical images are used to produce a mask by computing the Normalized Difference Vegetation Index (NDVI) and removing the vegetated area from the scene. Due to the differences in geomorphological settings and landuse\landcover between rural and urban settlements, the above algorithm is modified and adjusted by inserting the Modified Normalized Difference Water Index (MNDWI) to better suit rural environments and their unique response after a disaster. MNDWI is used for detection, identification and extraction of waterbodies (such as irrigation canals, streams, rivers, lakes, etc.), allowing their removal which causes lack of coherence at the post stage of the event. Furthermore, it is used as an indicator for highlighting prone regions that might be severely affected pre disaster event. Thresholds are determined for the co-event coherence map (&amp;#8804; 0.5), the NDVI (&amp;#8805; 0.4) and the MNDWI (&amp;#8805; 0), and the three layers are combined into one. Based on the combined map, a damage assessment map is generated.&amp;#160;&lt;/p&gt;&lt;p&gt;As a case study, this algorithm was applied to the areas affected by multi-hazard event, following the Sulawesi earthquake and subsequent tsunami in Palu, Indonesia, which occurred on September 28th, 2018. High-resolution COSMO-SkyMed images pre and post the event, alongside a Sentinel-2 image pre- event are used as inputs. The output damage assessment map provides a quantitative assessment and spatial distribution of the damage in both the rural and urban environments. The results highlight the applicability of the algorithm for a variety of disaster events and sensors. In addition, the results enhance the contribution of the water component to the analysis pre and post the event in rural areas. Thus, while in urban regions the spatial extent of the damage will occur in its proximity to the coastline or the fault, rural regions, even in significant distance will experience extensive damage due secondary hazards as liquefaction processes.&amp;#160; &amp;#160; &amp;#160;&lt;/p&gt;


2012 ◽  
Vol 2012 ◽  
pp. 1-21 ◽  
Author(s):  
Caleb Phillips ◽  
Douglas Sicker ◽  
Dirk Grunwald

We seek to provide practical lower bounds on the prediction accuracy of path loss models. We describe and implement 30 propagation models of varying popularity that have been proposed over the last 70 years. Our analysis is performed using a large corpus of measurements collected on production networks operating in the 2.4 GHz ISM, 5.8 GHz UNII, and 900 MHz ISM bands in a diverse set of rural and urban environments. We find that the landscape of path loss models is precarious: typical best-case performance accuracy of these models is on the order of 12–15 dB root mean square error (RMSE) and in practice it can be much worse. Models that can be tuned with measurements and explicit data fitting approaches enable a reduction in RMSE to 8-9 dB. These bounds on modeling error appear to be relatively constant, even in differing environments and at differing frequencies. Based on our findings, we recommend the use of a few well-accepted and well-performing standard models in scenarios wherea prioripredictions are needed and argue for the use of well-validated, measurement-driven methods whenever possible.


2021 ◽  
Vol 118 (31) ◽  
pp. e2022472118
Author(s):  
Andrew J. Stier ◽  
Kathryn E. Schertz ◽  
Nak Won Rim ◽  
Carlos Cardenas-Iniguez ◽  
Benjamin B. Lahey ◽  
...  

It is commonly assumed that cities are detrimental to mental health. However, the evidence remains inconsistent and at most, makes the case for differences between rural and urban environments as a whole. Here, we propose a model of depression driven by an individual’s accumulated experience mediated by social networks. The connection between observed systematic variations in socioeconomic networks and built environments with city size provides a link between urbanization and mental health. Surprisingly, this model predicts lower depression rates in larger cities. We confirm this prediction for US cities using four independent datasets. These results are consistent with other behaviors associated with denser socioeconomic networks and suggest that larger cities provide a buffer against depression. This approach introduces a systematic framework for conceptualizing and modeling mental health in complex physical and social networks, producing testable predictions for environmental and social determinants of mental health also applicable to other psychopathologies.


Author(s):  
Sumaiya Saifur ◽  
Courtney M. Gardner

Abstract Stormwater is a largely uncontrolled source of pollution in rural and urban environments across the United States. Concern regarding the growing diversity and abundance of pollutants in stormwater as well as their impacts on water quality has grown significantly over the past several decades. In addition to conventional contaminants like nutrients and heavy metals, stormwater is a well-documented source of many contaminants of emerging concern, which can be toxic to both aquatic and terrestrial organisms and remain a barrier to maintaining high quality water resources. Chemical pollutants like pharmaceuticals and personal care products, industrial pollutants such as per- and polyfluoroalkyl substances, and tire wear particles in stormwater are of great concern due to their toxic, genotoxic, mutagenic and carcinogenic properties. Emerging microbial contaminants such as pathogens and antibiotic resistance genes also represent significant threats to environmental water quality and human health. Knowledge regarding the transport, behavior, and the remediation capacity of these pollutants in runoff is key for addressing these pollutants in situ and minimizing ecosystem perturbations. To this end, this review paper will analyze current understanding of these contaminants in stormwater runoff in terms of their transport, behavior, and bioremediation potential.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Dale E. Rae ◽  
Simone A. Tomaz ◽  
Rachel A. Jones ◽  
Trina Hinkley ◽  
Rhian Twine ◽  
...  

Abstract Background The extent to which income setting or rural and urban environments modify the association between sleep and obesity in young children is unclear. The aims of this cross-sectional observational study were to (i) describe and compare sleep in South African preschool children from rural low-income (RL), urban low-income (UL) and urban high-income (UH) settings; and (ii) test for associations between sleep parameters and body mass index (BMI). Methods Participants were preschoolers (5.2 ± 0.7y, 49.5% boys) from RL (n = 111), UL (n = 65) and UH (n = 22) settings. Height and weight were measured. Sleep, sedentary behaviour and physical activity were assessed using accelerometery. Results UL children had higher BMI z-scores (median: 0.39; interquartile range: − 0.27, 0.99) than the UH (− 0.38; − 0.88, 0.11) and RL (− 0.08; − 0.83, 0.53) children (p = 0.001). The UL children had later bedtimes (p < 0.001) and wake-up times (p < 0.001) and shorter 24 h (p < 0.001) and nocturnal (p < 0.001) sleep durations than the RL and UH children. After adjusting for age, sex, setting, SB and PA, for every hour less sleep obtained (24 h and nocturnal), children were 2.28 (95% CI: 1.28–4.35) and 2.22 (95% CI: 1.27–3.85) more likely, respectively, to belong to a higher BMI z-score quartile. Conclusions Shorter sleep is associated with a higher BMI z-score in South African preschoolers, despite high levels of PA, with UL children appearing to be particularly vulnerable.


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